Karaletsos, Theofanis
- Pyro: Deep Universal Probabilistic Programming
2018/10/18 by Eli Bingham, Bingham, Eli, Jonathan P. Chen +17 · 1 voice · 62 citations
Computer Science · Mathematics · #Computational Physics and Python Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL) #cs.LG #cs.PL #stat.ML
- Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
2024/02/01 by Theodore Papamarkou, Maria Skoularidou, Papamarkou, Theodore +47 · 1 voice · 11 citations
#cs.LG #stat.ML
- How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
2024/09/18 by Bunne, Charlotte, Roohani, Yusuf, Rosen, Yanay +39 · 16 citations
#Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
- Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
2023/11/05 by Michael Bereket, Bereket, Michael, Theofanis Karaletsos +1 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Explainable Artificial Intelligence (XAI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM) #Single-cell and spatial transcriptomics
- Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
2023/09/28 by Bao, Yujia, Sivanandan, Srinivasan, Karaletsos, Theofanis · 5 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
2020/02/10 by Theofanis Karaletsos, Karaletsos, Theofanis, Thang D. Bui +1 · 2 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Bayesian representation learning with oracle constraints
2015/06/16 by Theofanis Karaletsos, Karaletsos, Theofanis, Serge Belongie +3 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Probabilistic Meta-Representations Of Neural Networks
2018/10/01 by Theofanis Karaletsos, Peter Dayan, Karaletsos, Theofanis +3 · 4 citations
Computer Science · Physics and Astronomy · #Neural Networks and Applications #Model Reduction and Neural Networks #Adversarial Robustness in Machine Learning
- Variational Control for Guidance in Diffusion Models
2025/02/06 by Pandey, Kushagra, Sofian, Farrin Marouf, Draxler, Felix +2 · 5 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials
2020/02/08 by Perez, Christian F., Such, Felipe Petroski, Karaletsos, Theofanis · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Variational Auto-Regressive Gaussian Processes for Continual Learning
2020/06/09 by Kapoor, Sanyam, Karaletsos, Theofanis, Bui, Thang D. · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- TyXe: Pyro-based Bayesian neural nets for Pytorch
2021/10/01 by Hippolyt Ritter, Theofanis Karaletsos, Ritter, Hippolyt +1 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification